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Dataset Information

ARG1 as a promising biomarker for sepsis diagnosis and prognosis: evidence from WGCNA and PPI network.


ABSTRACT:

Background

Sepsis is a life-threatening multi-organ dysfunction caused by the dysregulated host response to infection. Sepsis remains a major global concern with high mortality and morbidity, while management of sepsis patients relies heavily on early recognition and rapid stratification. This study aims to identify the crucial genes and biomarkers for sepsis which could guide clinicians to make rapid diagnosis and prognostication.

Methods

Preliminary analysis of multiple global datasets, including 170 samples from patients with sepsis and 110 healthy control samples, revealed common differentially expressed genes (DEGs) in peripheral blood of patients with sepsis. After Gene Oncology (GO) and pathway analysis, the Weighted Gene Correlation Network Analysis (WGCNA) was used

SUBMITTER: Zhang JX 

PROVIDER: S-EPMC9219214 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature